Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
In this paper, we present results from our empirical evaluations of a workspace awareness tool that we designed and implemented to augment the functionality of software configurat...
Data center power infrastructure incurs massive capital costs, which typically exceed energy costs over the life of the facility. To squeeze maximum value from the infrastructure,...
Steven Pelley, David Meisner, Pooya Zandevakili, T...
Contention for shared resources on multicore processors remains an unsolved problem in existing systems despite significant research efforts dedicated to this problem in the past...
Sergey Zhuravlev, Sergey Blagodurov, Alexandra Fed...
This paper introduces a new abstraction to accelerate the readbarriers and write-barriers used by language runtime systems. We exploit the fact that, dynamically, many barrier exe...